A significant portion of Landslide Early Warning Systems (LEWS) relies on the definition of operational thresholds and the monitoring of cumulative rainfall for alert issuance. These thresholds can be obtained in various ways, but most often they are based on previous landslide data. This approach introduces several limitations. For instance, there is a requirement for the location to have been previously monitored in some way to have this type of information recorded. Another significant limitation is the need for information regarding the location and timing of incidents. Despite the current ease of obtaining location information (GPS, drone images, etc.), the timing of the event remains challenging to ascertain for a considerable portion of landslide data. Concerning rainfall monitoring, there are multiple ways to consider it, for instance, examining accumulations over various intervals (1 h, 6 h, 24 h, 72 h), as well as in the calculation of effective rainfall, which represents the precipitation that actually infiltrates the soil. However, in the vast majority of cases, both the thresholds and the rain monitoring approach are defined manually and subjectively, relying on the operators’ experience. This makes the process labor-intensive and time-consuming, hindering the establishment of a truly standardized and rapidly scalable methodology on a large scale. In this work, we propose a Landslides Early Warning System (LEWS) based on the concept of rainfall half-life and the determination of thresholds using Cluster Analysis and data inversion. The system is designed to be applied in extensive monitoring networks, such as the one utilized by Cemaden, Brazil’s National Center for Monitoring and Early Warning of Natural Disasters.
Cassiano Antonio BortolozoLuana Albertani PampuchMarcio Roberto Magalhães De AndradeDaniel MetodievAdenilson Roberto CarvalhoTatiana Sussel Gonçalves MendesTristan PryerHarideva Marturano EgasRodolfo Moreda MendesIsadora Araújo SousaJenny Power
Peptide drugs are known for their high biological safety.However,compared with small molecule drugs,peptide drugs are easily oxidized and hydrolyzed as well as short in half-life.Herein,inspired by the long circulation of albumin in blood,we screened albumin binding peptides(ABPs)from a one-bead one-compound(OBOC)peptide library to increase the half-life of peptide drugs.Beads displaying random peptides were screened using fluorescent labeled human serum albumin.Fluorescent beads with specific binding to albumin were isolated for sequencing.The selected ABPs can effectively bind to albumin,thus possessing the long circulation of albumin.The dissociation constant(K_(D))of ABPs to albumin is up to 1×10^(-8)mol/L.Once one of ABPs(ABP2)was coupled to triptorelin,the circulation half-life of triptorelin in mice was significantly prolonged to 263.50 h much longer than that of triptorelin alone(179.07 h).In addition,the combination therapy using ABP-conjugated triptorelin and doxorubicin(DOX)can effectively inhibit the proliferation of tumor cells in mice.The OBOC screening strategy and resulting ABPs showed great potential for enhancing the delivery efficiency of peptide drugs.
